Description:
This concentration of study prepares a student to work in the areas of Information Technology & Web Science that involve the development of intelligent systems for complex computational tasks in areas such as bioinformatics, voice and image recognition, and Internet development.

The knowledge of the methods of machine and computational learning enables the student not only to identify situations where intelligent algorithms would amplify performance, but also to develop such algorithms.

Required Courses:

Semester I

Semester II

ITWS-1100 Introduction to Information Technology and Web Science

CSCI-1100 Computer Science I

Physical Science Elective (PHYS-XXXX)

MATH-1010 Calculus I

ITWS-1220 IT and Society

CSCI-1200 Data Structures

MATH-2800 Intro to Discrete Structures

HASS Elective (2)

Semester III

Semester IV

One of:
- ITWS-2961 Creativity and IT
- ITWS-496X IT for Arts and Performance

The following graduate courses can be used as Machine Learning Electives with the permission of either Prof. Goldberg or Prof. Magdon-Ismail: CISH-6150 AI and Heuristics, ECSE-6610 Pattern Recognition, and ECSE-6720 Neural Network Computing.